Difference between revisions of "2007:Symbolic Melodic Similarity Results"
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==Introduction== | ==Introduction== | ||
| − | These are the results for the 2007 running of the Symbolic Melodic Similarity task set. For background information about this task set please refer to the [[Symbolic Melodic Similarity]] page. | + | These are the results for the 2007 running of the Symbolic Melodic Similarity task set. For background information about this task set please refer to the [[2007:Symbolic Melodic Similarity]] page. |
Each system was given a query and returned the 10 most melodically similar songs from those taken from the Essen Collection (5274 pieces in the MIDI format; see [http://www.esac-data.org/ ESAC Data Homepage] for more information). For each query, we made four classes of error-mutations, thus the set comprises the following query classes: | Each system was given a query and returned the 10 most melodically similar songs from those taken from the Essen Collection (5274 pieces in the MIDI format; see [http://www.esac-data.org/ ESAC Data Homepage] for more information). For each query, we made four classes of error-mutations, thus the set comprises the following query classes: | ||
| Line 72: | Line 72: | ||
==Raw Scores== | ==Raw Scores== | ||
| − | The raw data derived from the Evalutron 6000 human evaluations are located on the [[Symbolic Melodic Similarity Raw Data]] page. | + | The raw data derived from the Evalutron 6000 human evaluations are located on the [[2007:Symbolic Melodic Similarity Raw Data]] page. |
[[Category: Results]] | [[Category: Results]] | ||
Revision as of 13:21, 13 May 2010
Contents
Introduction
These are the results for the 2007 running of the Symbolic Melodic Similarity task set. For background information about this task set please refer to the 2007:Symbolic Melodic Similarity page.
Each system was given a query and returned the 10 most melodically similar songs from those taken from the Essen Collection (5274 pieces in the MIDI format; see ESAC Data Homepage for more information). For each query, we made four classes of error-mutations, thus the set comprises the following query classes:
- 0. No errors
- 1. One note deleted
- 2. One note inserted
- 3. One interval enlarged
- 4. One interval compressed
For each query (and its 4 mutations), the returned results (candidates) from all systems were then grouped together (query set) for evaluation by the human graders. The graders were provide with only heard perfect version against which to evaluate the candidates and did not know whether the candidates came from a perfect or mutated query. Each query/candidate set was evaluated by 1 individual grader. Using the Evalutron 6000 system, the graders gave each query/candidate pair two types of scores. Graders were asked to provide 1 categorical score with 3 categories: NS,SS,VS as explained below, and one fine score (in the range from 0 to 10).
Evalutron 6000 Summary Data
Number of evaluators = 6
Number of evaluations per query/candidate pair = 1
Number of queries per grader = 1
Total number of candidates returned = 2400
Total number of unique query/candidate pairs graded = 799
Average number of query/candidate pairs evaluated per grader: 133
Number of queries = 6 (perfect) with each perfect query error-mutated 4 different ways = 30
General Legend
Team ID
FHAR = Pascal Ferraro, Pierre Hanna, Julien Allali, Matthias Robine
GAR1 = Carlos G├│mez, Soraya Abad-Mota, Edna Ruckhaus 1
GAR2 = Carlos G├│mez, Soraya Abad-Mota, Edna Ruckhaus 2
AP1 = Alberto Pinto 1
AP2 = Alberto Pinto 2
AU1 = Alexandra L. Uitdenbogerd 1
AU2 = Alexandra L. Uitdenbogerd 2
AU3 = Alexandra L. Uitdenbogerd 3
Broad Categories
NS = Not Similar
SS = Somewhat Similar
VS = Very Similar
Table Headings (Other metrics to be added soon to results by Xiao Hu )
ADR = Average Dynamic Recall
NRGB = Normalize Recall at Group Boundaries
AP = Average Precision (non-interpolated)
PND = Precision at N Documents
Calculating Summary Measures
Fine(1) = Sum of fine-grained human similarity decisions (0-10).
PSum(1) = Sum of human broad similarity decisions: NS=0, SS=1, VS=2.
WCsum(1) = 'World Cup' scoring: NS=0, SS=1, VS=3 (rewards Very Similar).
SDsum(1) = 'Stephen Downie' scoring: NS=0, SS=1, VS=4 (strongly rewards Very Similar).
Greater0(1) = NS=0, SS=1, VS=1 (binary relevance judgement).
Greater1(1) = NS=0, SS=0, VS=1 (binary relevance judgement using only Very Similar).
(1)Normalized to the range 0 to 1.
Summary Results
Run Times
file /nema-raid/www/mirex/results/sms_runtimes.csv not found
Overall Scores (Includes Perfect and Error Candidates)
file /nema-raid/www/mirex/results/SMS07_overall_norm.csv not found
Overall Summaries (Presented by Error Types)
file /nema-raid/www/mirex/results/SMS07_errors_norm.csv not found
Friedman Test with Multiple Comparisons Results (p=0.05)
The Friedman test was run in MATLAB against the Fine summary data over the 100 queries.
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);
file /nema-raid/www/mirex/results/sms07_sum_friedman_fine.csv not found
file /nema-raid/www/mirex/results/sms07_detail_friedman_fine.csv not found
Raw Scores
The raw data derived from the Evalutron 6000 human evaluations are located on the 2007:Symbolic Melodic Similarity Raw Data page.
